Explore image similarity

There are times when performing a similarity search using only a single image is not enough. For example, you want to perform a similarity search for historic buildings. The image you use to perform the search also has a large number of trees in the picture. Some of the images returned from your search might not be historic buildings at all. They might be images that have a large number of trees. To refine your search AND to add diversity to the returned results, select a number of images that are closer to what you want returned. Using the historic building example, select a number of different historic buildings in different lighting and different weather conditions. That way the results returned from your search are more in-line with what you want.

1. From the Explorer, filter, sort and search for 1 or more images/frames.

   You can select up to 50 images.

2. Click Manage selection. A dropdown menu appears.

3. Select Similarity search. Active displays similar images/frames of the selected images/frames.

4. Use the Distance filter to adjust the search as required.

Found in the Overview tab, any images that have a Uniqueness value of 0 to 0.0001 are highlighted as duplicates. You can adjust this value from the Filter tab.

The entire Project can be sorted by Uniqueness. Sort by ascending order to display duplicates first.

Filter the entire project using Uniqueness.

Go to Filter tab > Add Filter > Data Quality Metrics > Uniqueness A small histogram diagram appears above the filter.

You can then change the filter settings to specify a range closer to 0.